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BMCBI
2007
13 years 9 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
PAMI
2010
13 years 7 months ago
2010
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
AIA
2006
13 years 10 months ago
2006
The localization and interpretation of traffic signs by means of a wise-artificial system is one of the several applications of the recognizing-image techniques. In this work we p...
NIPS
2007
13 years 10 months ago
2007
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
We present a generalization of the nonnegative matrix factorization (NMF), where a multilayer generative network with nonnegative weights is used to approximate the observed nonne...